Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model

Sun, Zuo; Liu, Yingjie; Qi, Qingjie; Wang, Xinyang; Li, Dan; Chai, Jiamei

doi:10.3390/su141811131

Cited by 5 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This reflects low economic level and small population in the Lijiang River Basin. Although the density and grade of flood control walls, flood diversion works, river training works, reservoirs, and other facilities in this basin are much less than those in areas with higher economic levels, the absolute losses will not increase as a result; instead, economically developed regions have a higher density and value of disaster bearing bodies, and the economic losses caused by floods of the same grade are greater 33 . The vulnerability level of bearing body and its influence range are shown in Table 4 .…”

Section: Results and Analysismentioning

confidence: 95%

GIS-based risk assessment of flood disaster in the Lijiang River Basin

Tang

Liju

et al. 2023

Sci Rep

View full text Add to dashboard Cite

This study is designed to provide a scientific reference for the establishment of rainstorm and flood disaster prevention system in Guilin region and improve the risk assessment of rainstorm and flood disasters. To realize the goal, a flood risk evaluation model is established by weight analysis methods including the entropy weight method and the analytic hierarchy process from 3 aspects, i.e., risk of disaster causing factors, sensitivity of disaster-pregnant environment and vulnerability of disaster bearing body. For the model, the daily precipitation 1980–2020 of 6 representative national meteorological stations in the Lijiang River Basin was used as reference data of disaster causing factors; six indicators, i.e., NDVI, river network density, geological hazard, slope, slope aspect and terrain undulation were selected as the sensitivity of disaster-pregnant environment; NPP, potential of farmland production, and population density were taken as the criteria for determining the vulnerability of disaster bearing capacity. Meanwhile, ArcGIS was used for analysis and calculation to complete the risk assessment of flood disaster in Lijiang River Basin, Guangxi. The results indicate that: (1) the hazard level of flood disaster causing factors in Lijiang River Basin shows a decreasing distribution pattern from north to south, and high-risk areas cover 3108.47 km2, accounting for 21.29%; (2) the stability grade of disaster-pregnant environment shows a decreasing trend from the surrounding mountains to the plains, and the low-stability and lower-stability areas are mostly found in the low-lying areas around Lijiang River, with an area of 4218.63 km2, accounting for 28.69%; (3) the vulnerability of the disaster bearing body is generally at a low level, and the areas with high level cover 246.96 km2, accounting for only 1.69%; (4) under the combined effect of the above factors, the northern part of Guilin City in the Lijiang River Basin has a high risk of flood disaster.

show abstract

Section: Results and Analysismentioning

confidence: 95%

GIS-based risk assessment of flood disaster in the Lijiang River Basin

Tang

Liju

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…They adopted the FAHP-CRITIC method group to obtain the weight of each evaluation index, established a rainstorm and flood disaster risk assessment model on the ArcGIS platform, and prepared the risk assessment map of rainstorm and flood disaster [23]. Sun et al constructed a risk assessment model and index system for coal mine flood disaster, and proposed a risk assessment method based on the projection pursuit and fuzzy cluster analysis [24]. Jiang et al established a fast and accurate landslide risk prediction model for open-pit mine dumps based on machine learning, in order to prevent landslide geological disasters in open-pit mine dumps under the effect of heavy rainfall [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP

Sun

Liu

2022

Sustainability

Self Cite

View full text Add to dashboard Cite

As a disaster-bearing body, the coal mine is vulnerable to the impact threat of rainstorm disasters, which easily induce flooding accidents. In view of this, this study is designed to propose the vulnerability assessment method of rainstorm-induced coal mine flooding disasters. On account of the scientific theory of disaster risk, the evaluation model and index system of coal mine flooding disaster induced by rainstorm covering exposure, fortification level, and resilience are constructed, while the vulnerability assessment method based on Tri-AHP method is proposed. Study results demonstrate that population exerts the greatest impact on exposure, wellhead elevation matters the most for fortification level, and the emergency plan has a dominant influence on resilience. Therefore, for coal mines, it is suggested to strengthen the special rainstorm emergency plan drill, improve the fortification level, and solidify the emergency duty during the rainy season. In this study, the rainstorm disaster vulnerability assessment method of coal mine is innovatively put forward, which is conducive to sustainable energy and environmental development.

show abstract

“…Coal is the main energy source in China. In recent years, with the increase in mining depth, the gas content in low-permeability coal seams has gradually increased, resulting in low gas drainage efficiency and poor effects [1,2]. Various measures can enhance coal seam permeability to address mining challenges technically.…”

Section: Introductionmentioning

confidence: 99%

The Influence of High-Pressure Water Jet Cutting Parameters on the Relief of Pressure around the Coal Slot

Sun

Liu

et al. 2023

Processes

Self Cite

View full text Add to dashboard Cite

This research aims to investigate the impact of high-pressure water jet cutting parameters on pressure alleviation around the coal slot. A numerical model of high-pressure water jet cutting coal was developed using FLAC3D software, allowing for a detailed study of how each cutting parameter affects the pressure relief effect of the slot. The key findings are as follows: as the water jet pressure increases, the plastic area of the coal body around the kerf expands, although the rate of increase diminishes, with the optimal water jet pressure being 30 Mpa. The results suggest that hydraulic slotting measures are particularly beneficial for outburst prevention in high in situ stress coal seams. The pressure relief range exponentially grows with an increase in the kerf depth, signifying that enhancing the kerf depth has a notable effect on improving the hydraulic kerf pressure relief. As the slit width increases, the volume of the slit enlarges, leading to a significant rise in the pressure relief range of the surrounding coal body. Given that an increase in the slit width necessitates an increase in the nozzle outlet diameter and slotting time, the optimal slit width is determined to be 0.2 m. The research concludes that the optimal hydraulic slit spacing is 3 m. This study offers valuable theoretical guidance for high-pressure water jet slotting.

show abstract

Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model

Cited by 5 publications

References 19 publications

GIS-based risk assessment of flood disaster in the Lijiang River Basin

GIS-based risk assessment of flood disaster in the Lijiang River Basin

Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP

The Influence of High-Pressure Water Jet Cutting Parameters on the Relief of Pressure around the Coal Slot

Contact Info

Product

Resources

About